Health Monitoring of a Gear Box Using Vibration Signal Analysis

Abstract:

A gear plays a crucial role in the performance of a gear box. The faults in a gear reduces the gear life and if problem arises in shaft it affects bearing. Gear box is finally affected due to these faults. Vibration signals carries information about condition of a gear box which are captured using piezoelectric accelerometer. In this paper, features are extracted and classified using K nearest neighbours (KNN) algorithms for both time and frequency domain. The effectiveness of KNN in classification of gear faults for both time and frequency domain is discussed and compared.

• Periodical: Applied Mechanics and Materials (Volumes 813-814)
• Pages: 1012-1017
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.813-814.1012
• Online since: November 2015
• Authors: M.R. Praveen, M. Saimurugan
• Keywords: Bearings, Fault Diagnosis, Gears, KNN

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